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Sponsored & Brought to you by
Johan Hedberg
https://twitter.com/JoHed
https://www.linkedin.com/pub/johan-hedberg/4a/3a7/472
BizTalk Server Performance Tips
tSponsors
Johan HedbergIntegration MVP
10x latency improvement – how to squeeze
performance out of your BizTalk solution
BizTalk Summit 2015 – LondonExCeL London | April 13th & 14th
Who am I?
• Johan Hedberg
• MVP, formerly MCT and V-TSP
• Author
• Currently working as a solution architect for an information services (non-consultancy, non-Microsoft partner) company called Bisnode
• Twitter: @johhed
• http://blogical.se/blogs/johan
• dsf
Goal
• The goal originally: BizTalk performance
• The goal became: Design your BizTalk solution for performance
• The goal focus is: Design your BizTalk orchestrations for performance
• Some things to think about when planning your architecture to meet to your performance requirements
BizTalk Instrumentation
DTABuilt-in
Perf-CountersBAM
CustomPerf-Counters
Trace & Log Statements
Exception Handling
Send Response
Write To Trace“Orchestration Done”
Long Running Scope
Write To Trace“Scope Done”
Non-Serializable
1
2
3
Atomic Scope
Send Response
Write To Trace“Orchestration Done”
Write To Trace“Scope Done”
Code that does not need Transactions
1
Summary• Create an architecture meets your requirements
• Instrument your solution
• Reduce MsgBox hops
• Choose an appropriate layer design
• Choose an appropriate layer of reuse
• Apply caching where possible
• Optimize your logical flow (order of shapes)
• Configure your host settings and polling interval
• Make use of Inline Sends
• Identity downstream backend issues and work to resolve them
• Reduce your persistence points by making appropriate use of scopes, transactions and trace statements
• Apply other techniques as needed to achieve your requirements!
Conclusion• No one size fits all – know your solution – know your requirements
• There are best practices…
• …and then there are “practices”
• Develop, test, tune, choose one thing. Repeat.
• How you optimize your solution alters the its demand on resources• Ie – inline sends will stop persistence, stop dehydration, consume more memory, hold on to
more threads longer – aka move demand from disk to memory and threads – configure accordingly… No solution is static.
• Applying the right optimizations to your scenario can give you a 10x latency improvement